In this new blog post I want to give you an overview of how you can start with reporting analytics with Intune. I already wrote several blogs on how to create custom reports via mail or Teams, and how to export and automate things. I also wrote a blog with an overview of the analytics capabilities of Intune. In this post I want to take a step back and give you an overview of how to start with this topic and which capabilities Intune offers.
It is hard to keep track of your Intune environment. With the help of log events you can build static monitoring via Azure automation or logic apps. This is possible if you are only interested in a specific event or if you can express this via static code. However, if you want to detect anomalies, e.g. a strong increase or decrease of the device count or how many devices are compliant, it is difficult to implement this without machine learning and to set static values. In this blog series I would like to show you how you can use Azure Cognitive Services (now Azure AI Services) to build a monitoring system and send you messages based on abnormal deviations. So let’s get started.
The Intune Data warehouse provides some data that is very useful for creating reports. In this blog I will show you how to access this data with PowerBi and also provide you with a example dashboard.
